Langfuse
LLM engineering platform for model tracing, prompt management, and application evaluation. Langfuse helps teams collaboratively debug, analyze, and iterate on their LLM applications such as chatbots or AI agents.
High commit volume, frequent releases and growing activity.
Commit activity more than 95% of tracked projects; popularity more than 93%. How this is calculated.
Commits, last 11 months
| Stars | 35k |
|---|---|
| Latest release | v4.46.0 · 25 Sept 2026 |
| Repo updated | 26 Sept 2026 |
| Licence | MIT |
| Built with | Docker |
Is Langfuse actively maintained?
Langfuse is under active development: 3822 commits landed over the last 11 months, averaging roughly 602 commits a month in the most recent quarter.
Activity is accelerating: the last quarter carried 142% more commits than the one before it.
The most recent tagged release, v4.46.0, shipped within the last month — a current, installable version exists today.
Among the 14 software development - ide & tools projects we track, Langfuse currently has the highest health score.
What Langfuse actually does
Langfuse is an open-source platform designed for engineering large language model applications. It provides tooling to trace model executions, manage prompts, and evaluate the performance of systems like chatbots and AI agents.
Best fit: Development teams building production-grade language model applications who need collaborative debugging and monitoring infrastructure.
Worth knowing: Self-hosting this platform adds an operational burden, as you must maintain its underlying data stores and handle data privacy concerns for sensitive prompt logs.
Deployment notes
Deployment relies on Docker, so you will typically need to configure persistent volumes for data storage and place the container behind a reverse proxy to handle TLS termination.
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